Cesar Diaz
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 23 | A+/A2 orgs | 261 | .253/.337/.349 | 3 | 12 | 57 | — | .218/.279/.298 |
| 2017 | 24 | A+Tampa Yankees | 16 | .000/.188/.000 | 0 | 0 | -50 | — | .000/.125/.000 |
| 2018 | 25 | AA/A+2 orgs | 58 | .300/.375/.420 | 1 | 2 | 95 | — | .295/.358/.413 |
Career Stats + Projections
Methodology▸ how these numbers are built
All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.
| Year | Age | Lvl | Team | MLB% | PA | AB | H | 2B | 3B | HR | BB | SO | HBP | SB | CS | AVG | OBP | SLG | OPS | ISO | BABIP | K% | BB% | wOBA | wRC+ | BAT | RUN | FLD | POS | REP | WAR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▸ Career — actual stats, one row per stint (as recorded, no adjustments) | |||||||||||||||||||||||||||||||
| 2014 | 21 | ROK | GCL Yankees1 | — | 243 | 201 | 64 | 11 | 2 | 2 | 34 | 19 | 4 | 13 | 8 | 318 | 427 | 423 | 850 | 104 | 339 | 8 | 14 | 381 | 85 | — | — | — | — | — | — |
| 2015 | 22 | ROK | GCL Yankees1 | — | 146 | 114 | 35 | 6 | 6 | 1 | 28 | 9 | 1 | 27 | 4 | 307 | 448 | 491 | 939 | 184 | 321 | 6 | 19 | 409 | 99 | — | — | — | — | — | — |
| 2016 | 23 | A+ | Tampa Yankees | — | 17 | 12 | 2 | 1 | 0 | 0 | 5 | 1 | 0 | 0 | 0 | 167 | 412 | 250 | 662 | 83 | 182 | 6 | 29 | 334 | 75 | — | — | — | — | — | — |
| 2016 | 23 | A | Charleston RiverDogs | — | 244 | 217 | 56 | 10 | 1 | 3 | 22 | 35 | 2 | 12 | 8 | 258 | 332 | 355 | 687 | 97 | 294 | 14 | 9 | 310 | 56 | — | — | — | — | — | — |
| 2017 | 24 | A+ | Tampa Yankees | — | 16 | 13 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 1 | 188 | 188 | 19 | 19 | 131 | -50 | — | — | — | — | — | — | ||||
| 2018 | 25 | AA | Trenton Thunder | — | 36 | 29 | 8 | 1 | 0 | 1 | 5 | 6 | 0 | 2 | 0 | 276 | 382 | 414 | 796 | 138 | 304 | 17 | 14 | 341 | 101 | — | — | — | — | — | — |
| 2018 | 25 | A+ | Tampa Tarpons | — | 22 | 21 | 7 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 333 | 364 | 429 | 792 | 95 | 350 | 5 | 5 | 352 | 85 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 21 | ROK MLE | GCL Yankees1 | — | 243 | 214 | 56 | 9 | 2 | 2 | 21 | 27 | 4 | 13 | 8 | 262 | 339 | 350 | 689 | 89 | 275 | 11 | 9 | 294 | 85 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | GCL Yankees1 | — | 146 | 125 | 31 | 5 | 5 | 1 | 17 | 13 | 1 | 27 | 4 | 248 | 343 | 392 | 735 | 144 | 257 | 9 | 12 | 315 | 99 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Tampa Yankees | — | 17 | 13 | 2 | 1 | 0 | 0 | 4 | 1 | 0 | 0 | 0 | 154 | 353 | 231 | 584 | 77 | 173 | 6 | 24 | 279 | 75 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | Charleston RiverDogs | — | 244 | 225 | 50 | 7 | 1 | 3 | 14 | 46 | 2 | 12 | 8 | 222 | 274 | 302 | 576 | 80 | 260 | 19 | 6 | 251 | 56 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | Tampa Yankees | — | 16 | 14 | 0 | 0 | 0 | 0 | 2 | 4 | 0 | 0 | 1 | 125 | 125 | 25 | 12 | 95 | -50 | — | — | — | — | — | — | ||||
| 2018 | 25 | AA MLE | Trenton Thunder | — | 36 | 30 | 9 | 1 | 0 | 1 | 4 | 7 | 0 | 2 | 0 | 300 | 382 | 433 | 816 | 133 | 298 | 19 | 11 | 317 | 101 | — | — | — | — | — | — |
| 2018 | 25 | A+ MLE | Tampa Tarpons | — | 22 | 21 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 286 | 318 | 381 | 699 | 95 | 310 | 5 | 5 | 294 | 85 | — | — | — | — | — | — |
| 2014 | 21 | ROK MLE | GCL Yankees1 | — | 243 | 214 | 56 | 9 | 2 | 2 | 21 | 27 | 4 | 13 | 8 | 262 | 339 | 350 | 689 | 89 | 287 | 11 | 9 | 294 | 85 | — | — | — | — | — | — |
| 2014 | 21 | ROK RAW | GCL Yankees1 | — | 243 | 201 | 64 | 11 | 2 | 2 | 34 | 19 | 4 | 13 | 8 | 318 | 427 | 423 | 850 | 104 | 339 | 8 | 14 | 381 | 85 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | GCL Yankees1 | — | 146 | 125 | 31 | 5 | 5 | 1 | 17 | 13 | 1 | 27 | 4 | 248 | 343 | 392 | 735 | 144 | 265 | 9 | 12 | 315 | 99 | — | — | — | — | — | — |
| 2015 | 22 | ROK RAW | GCL Yankees1 | — | 146 | 114 | 35 | 6 | 6 | 1 | 28 | 9 | 1 | 27 | 4 | 307 | 448 | 491 | 939 | 184 | 321 | 6 | 19 | 409 | 99 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | 2 teams | — | 261 | 238 | 52 | 8 | 1 | 3 | 18 | 48 | 2 | 12 | 8 | 218 | 279 | 298 | 577 | 80 | 261 | 18 | 7 | 253 | 57 | — | — | — | — | — | — |
| 2016 | 23 | A RAW | 2 teams | — | 261 | 229 | 58 | 11 | 1 | 3 | 27 | 36 | 2 | 12 | 8 | 253 | 337 | 349 | 687 | 96 | 288 | 14 | 10 | 311 | 57 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | Tampa Yankees | — | 16 | 14 | 0 | 0 | 0 | 0 | 2 | 4 | 0 | 0 | 1 | 125 | 125 | 25 | 12 | 95 | -50 | — | — | — | — | — | — | ||||
| 2017 | 24 | A+ RAW | Tampa Yankees | — | 16 | 13 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 1 | 188 | 188 | 19 | 19 | 131 | -50 | — | — | — | — | — | — | ||||
| 2018 | 25 | AA MLE | 2 teams | — | 58 | 52 | 15 | 1 | 1 | 1 | 4 | 9 | 0 | 2 | 0 | 288 | 339 | 404 | 743 | 115 | 326 | 16 | 7 | 308 | 95 | — | — | — | — | — | — |
| 2018 | 25 | AA RAW | 2 teams | — | 58 | 50 | 15 | 1 | 1 | 1 | 6 | 7 | 0 | 2 | 0 | 300 | 375 | 420 | 795 | 120 | 326 | 12 | 10 | 345 | 95 | — | — | — | — | — | — |
| 2014 | 21 | ROK MLE | GCL Yankees1 | — | 243 | 216 | 56 | 9 | 2 | 2 | 21 | 27 | 4 | 13 | 8 | 259 | 339 | 347 | 686 | 88 | 275 | 11 | 9 | 294 | 85 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | GCL Yankees1 | — | 146 | 127 | 31 | 5 | 5 | 1 | 17 | 13 | 1 | 27 | 4 | 244 | 343 | 386 | 728 | 142 | 257 | 9 | 12 | 315 | 99 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | 2 teams | — | 261 | 239 | 52 | 8 | 1 | 3 | 18 | 48 | 2 | 12 | 8 | 218 | 279 | 297 | 576 | 79 | 254 | 18 | 7 | 253 | 57 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | Tampa Yankees | — | 16 | 14 | 0 | 0 | 0 | 0 | 2 | 4 | 0 | 0 | 1 | 125 | 125 | 25 | 12 | 95 | -50 | — | — | — | — | — | — | ||||
| 2018 | 25 | AA MLE | 2 teams | — | 58 | 54 | 15 | 1 | 1 | 1 | 4 | 9 | 0 | 2 | 0 | 278 | 339 | 389 | 728 | 111 | 303 | 16 | 7 | 308 | 95 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 724 | 643 | 154 | 23 | 9 | 7 | 62 | 101 | 7 | 54 | 21 | 240 | 313 | 336 | 649 | 96 | 271 | 14 | 9 | 280 | 76 | -21 | +2 | +0 | +3 | +16 | -0.0 | |
| / 162G | — | MLE | — | 650 | 577 | 138 | 21 | 8 | 6 | 56 | 91 | 6 | 48 | 19 | 239 | 312 | 334 | 647 | 95 | 272 | 14 | 9 | 280 | 76 | -19 | +2 | +0 | +2 | +14 | -0.0 | |
How the minor-league lines were translated
One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.
2018 AATrenton Thunder · 36 PAwOBA .342 → .317 (−25)K% 16.7% → 20.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷1.002 | ×1.220 | — | — | 20.29% |
| BB% (unintentional) /PA | 13.89% | ÷0.972 | ×0.700 | — | ×0.998 | 9.98% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.998 | 0.00% |
| Singles /BIP | 26.09% | ÷0.954 | ×0.970 | — | ×0.998 | 26.47% |
| Doubles /BIP | 4.35% | ÷1.042 | ×0.860 | — | ×0.998 | 3.58% |
| Triples /BIP | 0.00% | ÷0.944 | ×0.950 | — | ×0.998 | 0.00% |
| Home runs /BIP | 4.35% | ÷1.034 | ×0.780 | — | ×0.998 | 3.27% |
Factors used: league row EL. Park (home-season share, regressed): HR 107, 1B 91, 2B 108, 3B 89, K 100, BB 94 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).
Result: wOBA .342 → .317; ISO .138 → .116; BABIP .304 → .298. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2018 A+Tampa Tarpons · 22 PAwOBA .343 → .294 (−49)K% 4.5% → 6.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 4.55% | ÷1.004 | ×1.420 | — | — | 6.43% |
| BB% (unintentional) /PA | 4.55% | ÷1.015 | ×0.750 | — | ×0.978 | 3.28% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.978 | 0.00% |
| Singles /BIP | 30.00% | ÷1.003 | ×0.920 | — | ×0.978 | 26.92% |
| Doubles /BIP | 0.00% | ÷0.891 | ×0.960 | — | ×0.978 | 0.00% |
| Triples /BIP | 5.00% | ÷0.983 | ×0.810 | — | ×0.978 | 4.03% |
| Home runs /BIP | 0.00% | ÷1.205 | ×0.880 | — | ×0.978 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 141, 1B 101, 2B 78, 3B 97, K 101, BB 103 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).
Result: wOBA .343 → .294; ISO .095 → .076; BABIP .350 → .310. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2017 A+Tampa Yankees · 16 PAwOBA .129 → .095 (−34)K% 18.8% → 28.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.75% | ÷0.949 | ×1.420 | — | — | 28.06% |
| BB% (unintentional) /PA | 18.75% | ÷1.007 | ×0.750 | — | ×0.988 | 13.80% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.988 | 0.00% |
| Singles /BIP | 0.00% | ÷1.071 | ×0.920 | — | ×0.988 | 0.00% |
| Doubles /BIP | 0.00% | ÷0.995 | ×0.960 | — | ×0.988 | 0.00% |
| Triples /BIP | 0.00% | ÷1.031 | ×0.810 | — | ×0.988 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.949 | ×0.880 | — | ×0.988 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 90, 1B 114, 2B 99, 3B 106, K 90, BB 101 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).
Result: wOBA .129 → .095; ISO .000 → .000; BABIP .000 → .000. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2016 ACharleston RiverDogs · 244 PAwOBA .303 → .251 (−52)K% 14.3% → 18.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.34% | ÷1.017 | ×1.340 | — | — | 18.91% |
| BB% (unintentional) /PA | 9.02% | ÷0.995 | ×0.660 | — | ×0.990 | 5.92% |
| HBP% /PA | 0.82% | — | ×0.770 | — | ×0.990 | 0.62% |
| Singles /BIP | 23.08% | ÷1.000 | ×0.920 | ×1.011 | ×0.990 | 21.25% |
| Doubles /BIP | 5.49% | ÷1.145 | ×0.820 | ×1.011 | ×0.990 | 3.94% |
| Triples /BIP | 0.55% | ÷0.930 | ×0.940 | ×1.011 | ×0.990 | 0.56% |
| Home runs /BIP | 1.65% | ÷0.895 | ×0.820 | — | ×0.990 | 1.50% |
Factors used: league row SAL. Park (home-season share, regressed): HR 79, 1B 100, 2B 129, 3B 86, K 103, BB 99 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.
Result: wOBA .303 → .251; ISO .097 → .080; BABIP .294 → .260. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2016 A+Tampa Yankees · 17 PAwOBA .328 → .279 (−49)K% 5.9% → 8.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 5.88% | ÷0.988 | ×1.420 | — | — | 8.45% |
| BB% (unintentional) /PA | 29.41% | ÷1.021 | ×0.750 | — | ×0.998 | 21.55% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.998 | 0.00% |
| Singles /BIP | 9.09% | ÷1.022 | ×0.920 | — | ×0.998 | 8.17% |
| Doubles /BIP | 9.09% | ÷0.953 | ×0.960 | — | ×0.998 | 9.14% |
| Triples /BIP | 0.00% | ÷1.032 | ×0.810 | — | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.862 | ×0.880 | — | ×0.998 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 72, 1B 104, 2B 91, 3B 106, K 98, BB 104 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).
Result: wOBA .328 → .279; ISO .083 → .091; BABIP .182 → .173. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2015 ROKGCL Yankees1 · 146 PAwOBA .405 → .315 (−90)K% 6.2% → 8.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 6.16% | ÷1.000 | ×1.440 | — | — | 8.88% |
| BB% (unintentional) /PA | 19.18% | ÷1.000 | ×0.620 | — | ×0.975 | 11.59% |
| HBP% /PA | 0.68% | — | ×0.720 | — | ×0.975 | 0.48% |
| Singles /BIP | 20.95% | ÷1.000 | ×0.820 | ×1.048 | ×0.975 | 17.55% |
| Doubles /BIP | 5.71% | ÷1.000 | ×0.720 | ×1.048 | ×0.975 | 4.20% |
| Triples /BIP | 5.71% | ÷1.000 | ×0.720 | ×1.048 | ×0.975 | 4.20% |
| Home runs /BIP | 0.95% | ÷1.000 | ×0.780 | — | ×0.975 | 0.72% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.
Result: wOBA .405 → .315; ISO .184 → .150; BABIP .321 → .257. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2014 ROKGCL Yankees1 · 243 PAwOBA .376 → .294 (−82)K% 7.8% → 11.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.82% | ÷1.000 | ×1.440 | — | — | 11.26% |
| BB% (unintentional) /PA | 13.99% | ÷1.000 | ×0.620 | — | ×0.985 | 8.54% |
| HBP% /PA | 1.65% | — | ×0.720 | — | ×0.985 | 1.17% |
| Singles /BIP | 26.92% | ÷1.000 | ×0.820 | ×1.034 | ×0.985 | 22.48% |
| Doubles /BIP | 6.04% | ÷1.000 | ×0.720 | ×1.034 | ×0.985 | 4.43% |
| Triples /BIP | 1.10% | ÷1.000 | ×0.720 | ×1.034 | ×0.985 | 0.81% |
| Home runs /BIP | 1.10% | ÷1.000 | ×0.780 | — | ×0.985 | 0.84% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.
Result: wOBA .376 → .294; ISO .104 → .082; BABIP .339 → .275. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).